class_docstr: Multiply the audio by a random amplitude factor to reduce or increase the volume. This
  technique can help a model become somewhat invariant to the overall gain of the input audio.
  
  Warning: This transform can return samples outside the [-1, 1] range, which may lead to
  clipping or wrap distortion, depending on what you do with the audio in a later stage.
  See also https://en.wikipedia.org/wiki/Clipping_(audio)#Digital_clipping
code: def apply(self, samples: NDArray[np.float32], sample_rate: int):
      return samples * self.parameters["amplitude_ratio"]
  
file_path: audiomentations/audiomentations/augmentations/gain.py
imports: import random
  import warnings
  import numpy
  from numpy.typing import NDArray
  from audiomentations.core.transforms_interface import BaseWaveformTransform
  from audiomentations.core.utils import convert_decibels_to_amplitude_ratio
label_desc: Use image node_id 3 for calling the Gain obj's underlying member method code with example usage: obj.apply(samples, sample_rate) and returns: unknown